Erratum to:CD146 as a promising therapeutic target for retinal and choroidal neovascularization diseases

Erratum to:Sci China Life Sciences,Volume 65,Issue 6:1157-1170(2022),https://doi.org/10.1007/s11427-021-2020-0This paper contains four errors in Figure 4 and Figure 5.In Figure 4C,the image labeled as"1%O_(2)+IgG ctrl"is incorect.This image is another one for 1%O_(2) group.We provide a new image as follows for 1%O_(2)+IgG ctrl group.This new image does not affect the conclusion of this article.

CD146 as a promising therapeutic target for retinal and choroidal neovascularization diseases

Blood vessel dysfunction causes several retinal diseases,including diabetic retinopathy,familial exudative vitreoretinopathy,macular degeneration and choroidal neovascularization in pathological myopia.Vascular endothelial growth factor(VEGF)-neutralizing proteins provide benefits in most of those diseases,yet unsolved haemorrhage and frequent intraocular injections still bothered patients.Here,we identified endothelial CD146 as a new target for retinal diseases.CD146 expression was activated in two ocular pathological angiogenesis models,a laser-induced choroid neovascularization model and an oxygeninduced retinopathy model.The absence of CD146 impaired hypoxia-induced cell migration and angiogenesis both in cell lines and animal model.Preventive or therapeutic treatment with anti-CD146 antibody AA98 significantly inhibited hypoxia-induced aberrant retinal angiogenesis in two retinal disease models.Mechanistically,under hypoxia condition,CD146 was involved in the activation of NFκB,Erk and Akt signalling pathways,which are partially independent of VEGF.Consistently,anti-CD146therapy combined with anti-VEGF therapy showed enhanced impairment effect of hypoxia-induced angiogenesis in vitro and in vivo.Given the critical role of abnormal angiogenesis in retinal and choroidal diseases,our results provide novel insights into combinatorial therapy for neovascular fundus diseases.

Adapitive waveform design for distributed OFDM MIMO radar system in multi-target scenario

In order to improve detection and estimation performance of distributed OrthogonalFrequency-Division Multiplexing（OFDM） Multiple-Input Multiple-Output（MIMO） radar system in multi-target scene, we propose a novel approach of Adaptive Waveform Design（AWD） based on a constrained Multi-Objective Optimization（MOO）. The sparse measurement model of this radar system is derived, and the method based on decomposed Dantzig selectors is applied for the sparse recovery according to the block structures of the sparse vector and the system matrix. An AWD approach is proposed, which optimizes two objective functions, namely minimizing the upper bound of the recovery error and maximizing the weakest-target return, by adjusting the complex weights of the emitting waveform amplitudes. Several numerical simulations are provided and their results show that the detection and estimation performance of the radar system is improved significantly when this MOO-based AWD approach is applied to the distributed OFDM MIMO radar system. Especially, we verify the effectiveness of our AWD approach when the available samples are reduced severally and the technique of compressed sensing is introduced.